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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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Addis Standard

@addisstandardeng · Post #21636 · 03/07/2026, 05:33 AM

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#African experts meet in #Rwanda for continental textile standardization African experts have convened in the Rwandan capital #Kigali for the Technical Committee (#TC 53) meeting on the standardization of textiles, textile products, and accessories. The forum, which ran from Tuesday to Friday, focused on finalizing agreements and establishing key standards and labeling systems for the textile sector, with the aim of strengthening trade and supporting economic growth within the continent's textile industry. Hermogene Nsengimana, secretary general of the African Organisation for Standardization (#ARSO), highlighted that Africa still faces a significant gap in developing common quality standards. He added that currently, only about 25 percent of the standards required for all products in the African common market have been established. Nsengimana said that ARSO has set a target to significantly reduce this gap within the...... https://english.news.cn/africa/20260307/6634375ed4a4474cab2c20d0c4a31253/c.html

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